Nicoletta Saulig

发表

A virtual instrument for efficient blind-source separation of nonstationary signals

Victor Sucic, Zeljka Milanovic, Nicoletta Saulig, 2016, 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures

Nicoletta Saulig, Jonatan Lerga, Ana Vranković, 2020, EURASIP Journal on Advances in Signal Processing.

Error Origin Analysis for Adaptive Time-Frequency Distribution Thresholding of Nonstationary Signals

Nicoletta Saulig, Darko Etinger, Željka Milanović, 2019, 2019 International Symposium ELMAR.

Optimization of quadratic time-frequency distributions using the local Rényi entropy information

Irena Orovic, Victor Sucic, Nicoletta Saulig, 2016, Signal Process..

On the Selection of the Proper Number of Classes in TFD Segmentation for Extraction of Useful Information Content from Noisy Signals

Zeljka Milanovic, Nicoletta Saulig, Karlo Griparic, 2018, 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech).

Rényi entropy based failure detection of medical electrodes

Zeljka Milanovic, Nicoletta Saulig, Ivan Marasovic, 2015, 2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM).

Reny entropy based complexity estimation of nonstationary signals

Nicoletta Saulig, 2015 .

Analysis of local time-frequency entropy features for nonstationary signal components time supports detection

Boualem Boashash, Victor Sucic, Nicoletta Saulig, 2014, Digit. Signal Process..

Unconventional Audio Signal Processing: Aloe Vera Summing and Panning

Nicoletta Saulig, Zlatko Baracskai, Marija Šumarac, 2020, 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech).

Instantaneous counting of components in nonstationary signals

Victor Sucic, Nelly Pustelnik, Patrick Flandrin, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients

Cornel Ioana, Nicoletta Saulig, Jonatan Lerga, 2019, IEEE Transactions on Signal Processing.

Signal Feature Recognition in Time-Frequency Domain Using Edge Detection Algorithms

Ivan Marasović, Nicoletta Saulig, Željka Milanović, 2019, 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech).

Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms

Victor Sucic, Nicoletta Saulig, Jonatan Lerga, 2018 .

Analysis of Entropy-Based Denoising Algorithm's Performance on Signals in Colored Noise Environments

Nicoletta Saulig, Darko Etinger, Željka Milanović, 2018, 2018 International Symposium ELMAR.

Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy

Boualem Boashash, Victor Sucic, Nicoletta Saulig, 2011, EURASIP J. Adv. Signal Process..

Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis

Nicoletta Saulig, Jonatan Lerga, Vladimir Mozetic, 2017, Comput. Biol. Medicine.

Measures, performance assessment, and enhancement of TFDs

Ljubisa Stankovic, Boualem Boashash, Ervin Sejdic, 2016 .

Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions

Nicoletta Saulig, Miloš Daković, Jonatan Lerga, 2019, 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA).

TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy

Nicoletta Saulig, Ivan Stajduhar, Jonatan Lerga, 2017, Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis.

Spectrogram-based assessment of small SNR variations, with application to medical electrodes

Ivan Marasović, Nicoletta Saulig, Damir Seršić, 2019, EURASIP J. Adv. Signal Process..

A local entropy-based algorithm for information content extraction from time-frequency distributions of noisy signals

Zeljka Milanovic, Nicoletta Saulig, Cornel Ioana, 2017, Digit. Signal Process..

Entropy based extraction and classification of frequency hopping signals from their TFDs

Irena Orovic, Srdjan Stankovic, Victor Sucic, 2013, Proceedings ELMAR-2013.

An automatic time-frequency procedure for interference suppression by exploiting their geometrical features

Boualem Boashash, Victor Sucic, Nicoletta Saulig, 2011, International Workshop on Systems, Signal Processing and their Applications, WOSSPA.

Effects of TFD thresholding on EEG signal analysis based on the local Rényi entropy

Nicoletta Saulig, Jonatan Lerga, Rebeka Lerga, 2017, 2017 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

Number of EEG signal components estimated using the short-term Renyi entropy

Nicoletta Saulig, Jonatan Lerga, Rebeka Lerga, 2016, 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

SIGNAL REPRESENTATION QUALITY ENHANCEMENT BY APPLYING MATHEMATICAL OPERATIONS TO TIME-FREQUENCY DISTRIBUTIONS

Nino Stojković, Nicoletta Saulig, Viktor Sučić, 2009 .

A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures

Boualem Boashash, Victor Sucic, Damir Sersic, 2013, 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA).